Li-Ion Battery Modeling Patent Snapshot 2026
Robert Bosch GmbH leads a modestly concentrated field where the top five filers account for 38% of the hundred largest filers’ combined total, with battery-cell modeling (H01M) as the dominant technical route. The field has eased from its prior peak on an annual basis, though the United States remains the primary filing jurisdiction.
Robert Bosch leads a fragmented field with a long academic tail
Robert Bosch GmbH holds the top position with 9 patent records, roughly three times the count of the next-ranked applicants. Zhejiang Jinko Energy Storage, Repsol, and the Arizona Board of Regents on behalf of the University of Arizona each follow with 3 patent records.
The top five filers account for 38% of the ranked applicants visible in this query’ combined total, indicating moderate concentration at the summit but a broad, fragmented mid-tier populated primarily by universities and research institutes across the. United States, China, and. Europe.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Robert Bosch GmbH | 9 | |
| 2 | Zhejiang Jinko Energy Storage Co Ltd | 3 | |
| 3 | Repsol SA | 3 | |
| 4 | Arizona Board of Regents on behalf of the University of Arizona | 3 | |
| 5 | University of Washington | 2 | |
| 6 | Tsinghua University | 2 | |
| 7 | Jiangsu University | 2 | |
| 8 | GM Global Technology Operations LLC | 2 | |
| 9 | University of North Dakota | 1 | |
| 10 | Shell Internationale Research Maatschappij BV | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Nanjing Tech University | 1 | |
| 12 | Shanghai Jiao Tong University | 1 | |
| 13 | Arizona Board of Regents on behalf of the University of Arizona | 1 | |
| 14 | SVOLT Energy Technology Co Ltd | 1 | |
| 15 | Dr G Balaraman | 1 | |
| 16 | Mr Siddanathi Nageswara Rao | 1 | |
| 17 | Dr Selvakumar S | 1 | |
| 18 | TWAICE Technologies GmbH | 1 | |
| 19 | Shanghai Aerospace Power Technology | 1 | |
| 20 | Harbin Institute of Technology Shenzhen Graduate School | 1 |
Bosch’s position — anchored heavily in H01M battery-cell modeling with secondary coverage of control systems and power supply — signals that the visible incumbent is defending electrochemical modeling methods rather than application-layer verticals, leaving integration use cases relatively open.
Filing data for the most recent 18–24 months is subject to publication lag and likely understates true recent activity; the corpus of 32 patent families should be treated as a focused, not exhaustive, slice of the broader domain.
Annual volume has eased from its peak; battery-cell modeling dominates the technology mix
The filing trend and technology composition charts together reveal a field that expanded over a multi-year window but whose annual volume has pulled back from its earlier high, while H01M remains the overwhelmingly visible IPC branch.
Annual filing trend
Annual filings peaked in 2017 at 4 records, remained uneven through 2022–2024, and showed a notable spike to 10 records in 2025 before dropping to 2 in 2026 — the 2025–2026 boundary should be read cautiously given publication lag. The multi-year trajectory reflects a field still active but no longer in rapid expansion.
↗ Hover for values · click a bar to ask EurekaTechnology composition
H01M (Batteries, cells and fuel cells) is the visible branch with 35 records, reflecting a core focus on electrochemical and cell-level modeling. G01R (electric and magnetic measurement, 13 records) and G06F (digital data processing, 11 records) form a secondary tier covering state-estimation and computational methods. Lower-share branches — H02J, B60L, B60K, and G05B — point to emerging but under-served integration directions.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Method and system for building thermal model of po…
A method and system for building a thermal model of a power lithium-ion battery based on an electrochemical mechanism. The method includes: discretizing a second order partial differential heat conduction equation of a power lithium-ion battery according to a finite differential method, thereby building a thermal model of the power lithium-ion battery… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Deformable origami batteries | 30 |
| 2 | Simulation of a Battery | 29 |
| 3 | Systems and methods for direct estimation of batte… | 24 |
| 4 | Method and system for estimating a capacity of ind… | 22 |
| 5 | Gas-liquid dynamic model-based accurate lithium-io… | 18 |
| 6 | 基于多约束条件粒子群优化算法的锂电池组参数辨识方法 | 17 |
| 7 | Method and system for building thermal model of po… | 16 |
| 8 | 锂离子电池电化学模型电极层结构参数的确定方法 | 16 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
Robert Bosch GmbH
Bosch holds 9 patent records — the largest block in the corpus — concentrated in H01M battery-cell modeling with secondary filings in G05B control systems and H02J power supply. This breadth across the core modeling stack and its grid/charging interfaces suggests Bosch is protecting a vertically integrated modeling workflow rather than point solutions. Applicant momentum figures are not available for this dataset.
9 patent recordsRepsol SA
Repsol holds 3 patent records with a technology focus spanning H01M cell modeling, G01R measurement, and H02J power supply — an unusual combination for an energy company that points to grid-storage and energy-management use cases rather than vehicle electrification. Its presence alongside academic institutions in the mid-tier suggests a targeted, application-driven filing strategy. Applicant momentum figures are not available for this dataset.
3 patent recordsFrequently asked questions
The analysis covers 32 patent families in scope. This is a focused corpus centered on modeling methods for lithium-ion batteries rather than the broader battery technology domain.
Robert Bosch GmbH leads with 9 patent records, which is approximately three times the count of the next-ranked applicants. Its filings concentrate in H01M battery-cell modeling with secondary coverage in G05B control systems and H02J power supply.
The evidence classifies the field as Decline, with annual filings easing back from a prior peak. This suggests that foundational modeling methods are increasingly well-covered by prior art, and new filings should target differentiated sub-domains to establish defensible positions.
The United States leads with 18 patent records, followed by India with 7, Europe (EPO) with 6, WIPO (PCT) with 5, and China with 4. The US dominance reflects both the presence of major US-based filers and the strategic choice of overseas applicants to prioritize US protection.
The top-cited works by citation count include ‘Deformable origami batteries’ (30 citations), ‘Simulation of a Battery’ (29 citations), ‘Systems and methods for direct estimation of battery parameters’ (24 citations), and ‘Method and system for estimating a capacity of individual electrodes’ (22 citations). These represent foundational references for the modeling community.
The two most notable under-served adjacent branches are H02J (power supply and grid integration modeling, 7 records, ~8% share) and B60L (electric vehicle propulsion modeling, 4 records, ~5% share). Both have plausible technical value and low existing patent density, making them candidate areas for a targeted filing program — though they should be validated against commercial priorities before committing R&D resources.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
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